70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
import pynini
|
|
from fun_text_processing.text_normalization.en.graph_utils import (
|
|
DAMO_NOT_QUOTE,
|
|
GraphFst,
|
|
delete_extra_space,
|
|
delete_preserve_order,
|
|
)
|
|
from pynini.lib import pynutil
|
|
|
|
|
|
class MoneyFst(GraphFst):
|
|
"""
|
|
Finite state transducer for verbalizing money, e.g.
|
|
money { integer_part: "twelve" fractional_part: "o five" currency: "dollars" } -> twelve o five dollars
|
|
|
|
Args:
|
|
decimal: DecimalFst
|
|
deterministic: if True will provide a single transduction option,
|
|
for False multiple transduction are generated (used for audio-based normalization)
|
|
"""
|
|
|
|
def __init__(self, decimal: GraphFst, deterministic: bool = True):
|
|
super().__init__(name="money", kind="verbalize", deterministic=deterministic)
|
|
keep_space = pynini.accep(" ")
|
|
maj = (
|
|
pynutil.delete('currency_maj: "')
|
|
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
|
+ pynutil.delete('"')
|
|
)
|
|
min = (
|
|
pynutil.delete('currency_min: "')
|
|
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
|
+ pynutil.delete('"')
|
|
)
|
|
|
|
fractional_part = (
|
|
pynutil.delete('fractional_part: "')
|
|
+ pynini.closure(DAMO_NOT_QUOTE, 1)
|
|
+ pynutil.delete('"')
|
|
)
|
|
|
|
integer_part = decimal.integer
|
|
|
|
# *** currency_maj
|
|
graph_integer = integer_part + keep_space + maj
|
|
|
|
# *** currency_maj + (***) | ((and) *** current_min)
|
|
fractional = fractional_part + delete_extra_space + min
|
|
|
|
if not deterministic:
|
|
fractional |= pynutil.insert("and ") + fractional
|
|
|
|
graph_integer_with_minor = (
|
|
integer_part + keep_space + maj + keep_space + fractional + delete_preserve_order
|
|
)
|
|
|
|
# *** point *** currency_maj
|
|
graph_decimal = decimal.numbers + keep_space + maj
|
|
|
|
# *** current_min
|
|
graph_minor = fractional_part + delete_extra_space + min + delete_preserve_order
|
|
|
|
graph = graph_integer | graph_integer_with_minor | graph_decimal | graph_minor
|
|
|
|
if not deterministic:
|
|
graph |= graph_integer + delete_preserve_order
|
|
|
|
delete_tokens = self.delete_tokens(graph)
|
|
self.fst = delete_tokens.optimize()
|